Reasoning as Code & governed AI

Essays on the missing layer between enterprise data and AI agents—playbooks, proof, ReBAC, and shipping production copilots that audit themselves.

From playbook to compliance verdict in minutes

Step-by-step: install the Fintech transaction compliance playbook, explore the graph, connect Claude via MCP, and ask whether transaction TX-8842 can be approved — with an explainable answer.

Top modern AI use cases for ontology

Why ontology is back in the age of AI — and why cybersecurity, finance, insurance, healthcare, manufacturing, and supply chain need shared meaning, not just better summaries.

The missing layer between your data and your AI agents

Why RAG and MCP are not enough, what Reasoning as Code means, and how AnythingGraph lets developers version ontology, access, and proof in playbooks—then expose them to any agent via governed MCP.